Notably, Computer and Mathematical Occupations jobs accounted for a 43% share of the global travel and tourism industry’s cloud-related total new job postings in Q2 2023, down 37% over the prior quarter.

Computer and Mathematical Occupations drive cloud-related hiring activity

Computer and Mathematical Occupations, with a share of 43%, emerged as the top cloud-related job roles within the travel and tourism industry in Q2 2023, with new job postings drop by 37% quarter-on-quarter. Management Occupations came in second with a share of 14% in Q2 2023, with new job postings dropping by 33% over the previous quarter.

The other prominent cloud roles include Business and Financial Operations Occupations with a 3% share in Q2 2023, Architecture and Engineering Occupations with a 3% share of new job postings.

Top five companies in travel and tourism industry accounted for 24% of hiring activity

The top companies, in terms of number of new job postings tracked by GlobalData, as of Q2 2023 were Flix, Hertz Global, Walt Disney, Uber Technologies, and TUI. Together they accounted for a combined share of 24% of all cloud-related new jobs in the travel and tourism industry.

Flix posted 112 cloud-related new jobs in Q2 2023, Hertz Global 99 jobs, Walt Disney 97 jobs, Uber Technologies 92 jobs, and TUI 79 jobs, according to GlobalData’s Job Analytics.

Hiring activity was driven by the US with a 42.48% share of total new job postings, Q2 2023

The largest share of cloud-related new job postings in the travel and tourism industry in Q2 2023 was in the US with 42.48% followed by Germany (9.58%) and France (6.57%). The share represented by the US was 12 percentage points higher than the 30.96% share it accounted for in Q1 2023.

For further understanding of GlobalData's Tech in Tourism – Report Bundle, buy the report here.

This content was updated on 24 July 2023

Premium Insights

From

The gold standard of business intelligence.

Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.

GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData’s Jobs Analytics uses machine learning to uncover key insights from tracking daily job postings for thousands of companies globally. Proprietary analysis is used to group jobs into key thematic areas and granular sectors across the world’s largest industries. classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.